Efficacy and safety of generic and branded atorvastatin in patients with ischemic stroke/transient ischemic attack: A real-world study / 中国临床药理学与治疗学

AIM: In this study, we assessed the safety and efficacy of generic and branded atorvastatin in patients with ischemic stroke/transient ischemic attack in real-world practice. METHODS: Patients admitted for ischemic stroke/transient ischemic attack between January 1, 2018 and March 31, 2021 who continually received atorvastatin for ≥6 months after diagnosis were included. Safety and efficacy endpoints in patients receiving the generic atorvastatin were compared with those of patients receiving the branded medication. Propensity score matching was applied to control con-founders. RESULTS: There were 665 patients in our final analysis, 302 in the branded group and 363 in the generic group. After propensity score matching, patients who received generic atorvastatin did not show a greater incidence of Ischemic Stroke/transient ischemic attack recurrence or onset of coronary heart disease. Similar changes in NIHSS and mRS scores were observed between the generic and branded groups. Consistent results were found in rates of hepatobiliary laboratory abnormalities and the compound adverse event profile of an elevated creatine kinase level, elevated aspartate aminotransferase/alanine aminotransferase levels, and intracranial hemorrhage. Results were consistent before and after propensity score matching. CONCLUSION: Both generic and branded atorvastatin are equally effective in preventing stroke recurrence and improving neurological deficits in patients with ischemic stroke/ transient ischemic attack. Both treatments are generally well tolerated by patients.

Relationship Between Outpatients Amount and Climate in Guangzhou City / 广州中医药大学学报

[ Objective ] To explore the relationship between outpatients amount and climate in Guangzhou City. [Methods] Correlation regression analysis of the relationship between monthly outpatients amount and simultaneous meteorological indexes was carried out in various departments of three hospitals of Guangzhou from the year of 1993 to 2001. [Results] The main meteorological factors affecting monthly outpatients amount are: monthly average atmospheric pressure, monthly lowest temperature, monthly sunshine hours, monthly rainfall, monthly relative humidity and monthly average wind speed. Monthly average atmospheric pressure, monthly lowest temperature, monthly relative humidity and monthly average wind speed are negatively correlated with monthly outpatients amount while monthly sunshine hours and monthly rainfall are positively correlated. Then the corresponding multivariate linear regression equations are established. The results of analysis showed that the main meteorological indexes which were related to the occurrence of diseases are the above six. [Conclusion] The corresponding multivariate linear regression equations can be used to forecast the epidemic trend of diseases in an area and this will provide evidences for the forecast of occurrence and prevalence of diseases.